PERSONAL ASSISTANT FOR MEDICATION REMINDER SYSTEM FOR SELF-RELIANT SENIORS CITIZENS

Authors

  • Dr M. Kannan ME., Ph.D., Head of Department, Mahendra Engineering College, Mallasamudram, Namakkal, Tamilnadu, India.
  • Pradeep Raj S UG Students, Department of Computer Science and Engineering,Mahendra Engineering College, Mallasamudram, Namakkal, Tamilnadu, India.
  • Rajendran M UG Students, Department of Computer Science and Engineering,Mahendra Engineering College, Mallasamudram, Namakkal, Tamilnadu, India.
  • Shree Varshan T UG Students, Department of Computer Science and Engineering,Mahendra Engineering College, Mallasamudram, Namakkal, Tamilnadu, India.
  • Subashchandrabose K UG Students, Department of Computer Science and Engineering,Mahendra Engineering College, Mallasamudram, Namakkal, Tamilnadu, India.

DOI:

https://doi.org/10.29121/shodhkosh.v5.i7.2024.4631

Keywords:

Automatic Alarm, Reminder System, Notification System, Medication Adherence, Medicine Scheduler

Abstract [English]

An automatic alert call system is implemented by the Android application MEDICINE REMINDER. Patient-doctor interactions are highlighted. To relieve patients of the burden of remembering when to provide their medications, alarms can be programmed to remind patients at specific times. It is possible to set alarms for various drugs and times, as well as for the day, time, and description of the medication. The system was developed using an agile software engineering process. NODE-RED process was used to develop the back end, and MIT APP inventor was used to implement the front end. IBM Cloud ant DB will house these particulars. The system prioritizes a user-friendly design and simple navigation. We have worked to create medical reminder systems that are affordable, time-efficient, and promote prescription adherence, even though many of these systems need new technology.

References

Lee, J.; Kim, D.; Ryoo, H.-Y.; Shin, B.-S.; Lee, J.; Kim, D.; Ryoo, H.-Y.; Shin, B.- S. Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life. Sustainability 2016, 8, 466. [CrossRef] DOI: https://doi.org/10.3390/su8050466

Cedillo, P.; Sanchez, C.; Campos, K.; Bermeo, A. A Systematic Literature Review on Devices and Systems for Ambient Assisted Living: Solutions and Trends from Different User Perspectives. In Proceedings of the 2018 International Conference on eDemocracy & eGovernment (ICEDEG) IEEE, Ambato, Ecuador, 4–6 April 2018; pp. 59–66. DOI: https://doi.org/10.1109/ICEDEG.2018.8372367

Baig, M.M.; Afifi, S.; GholamHosseini, H.; Mirza, F. A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults—A Focus on Ageing Population and Independent Living. J. Med. Syst. 2019, 43, 233. [CrossRef] DOI: https://doi.org/10.1007/s10916-019-1365-7

Seneviratne, S.; Hu, Y.; Nguyen, T.; Lan, G.; Khalifa, S.; Thilakarathna, K.; Hassan, M.; Seneviratne, A. A Survey of Wearable Devices and Challenges. IEEE Commun. Surv. Tutor. 2017, 19, 2573–2620. [CrossRef] DOI: https://doi.org/10.1109/COMST.2017.2731979

Blackman, S.; Matlo, C.; Bobrovitskiy, C.; Waldoch, A.; Fang, M.L.; Jackson, P.; Mihailidis, A.; Nygård, L.; Astell, A.; Sixsmith, A. Ambient Assisted Living Technologies for Aging Well: A Scoping Review. J. Intell. Syst.2016, 25, 55–69. [CrossRef] DOI: https://doi.org/10.1515/jisys-2014-0136

Peetoom, K.K.B.; Lexis, M.A.S.; Joore, M.; Dirksen, C.D.; De Witte, L.P. Literature review on monitoring technologies and their outcomes in independently living elderly people. Disabil. Rehabil. Assist. Technol. 2015, 10, 271–294. [CrossRef] [PubMed] DOI: https://doi.org/10.3109/17483107.2014.961179

Reisberg, B.; Prichep, L.; Mosconi, L.; John, E.R.; Glodzik-Sobanska, L.; Boksay, I.; Monteiro, I.; Torossian, C.;Vedvyas, A.; Ashraf, N.; et al. The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer‘s disease. Alzheimer Dement. 2008, 4, S98–S108. [CrossRef] [PubMed] Sensors 2020, 20, 2826 21 of 22 DOI: https://doi.org/10.1016/j.jalz.2007.11.017

Azzawi, M.A.; Hassan, R.; Azmi, K.; Bakar, A. A Review on Internet of Things (IoT) in Healthcare IEEE 802.11aa Intra-AC Prioritization View project A Rule-Based Technique to Detect. Router Advertisement Flooding Attack Against Web Application View project. Int. J. Appl. Eng. Res. 2016, 11, 10216–10221.

Chen, S.; Lee, H.; Chen, C.; Huang, H.; Luo, C. Wireless Body Sensor Network With Adaptive Low-Power Design for Biometrics and Healthcare Applications. IEEE Syst. J. 2009, 3, 398–409. [CrossRef] 10. Rodrigues, D.; Luis-Ferreira, F.; Sarraipa, J.; Goncalves, R. Behavioural Monitoring of Alzheimer Patients with Smartwatch Based System. In Proceedings of the 2018 International Conference on Intelligent Systems (IS) IEEE, Funchal-Madeira, Portugal, 25–27 September 2018; pp. 771–775. 11. Ehrler, F.; Lovis, C. Supporting elderly homecare with smartwatches: Advantages and drawbacks. Stud.Health Technol. Inform. 2014, 205, 667–671. [PubMed]

Sharma, J.; Kaur, S. Gerontechnology—The study of Alzheimer disease using cloud computing. In Proceedings of the 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) IEEE, Chennai, India, 1–2 August 2017; pp. 3726–3733 DOI: https://doi.org/10.1109/ICECDS.2017.8390159

Downloads

Published

2024-07-31

How to Cite

M. Kannan, Raj S, P., Rajendran M, Varshan T, S., & Subashchandrabose K. (2024). PERSONAL ASSISTANT FOR MEDICATION REMINDER SYSTEM FOR SELF-RELIANT SENIORS CITIZENS. ShodhKosh: Journal of Visual and Performing Arts, 5(7), 828–835. https://doi.org/10.29121/shodhkosh.v5.i7.2024.4631